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Decision theory, reinforcement learning, and the brain
2008
Cognitive, Affective, & Behavioral Neuroscience
Decision theory is a core competence for animals and humans acting and surviving in environments they only partially comprehend, gaining rewards and punishments for their troubles. Decision theoretic concepts permeate experiments and computational models in ethology, psychology and neuroscience. Here, we review a well known, coherent Bayesian approach to decision-making, showing how it unifies issues in Markovian decision problems, signal detection psychophysics, sequential sampling and optimal
doi:10.3758/cabn.8.4.429
pmid:19033240
fatcat:6l37gqtenfg3xonzfdd3kuk3sy